The Paper Using the meta-analysis research method, first through literature retrieval to obtain 23 relevant empirical studies in China, and then using Review Manager for quantitative analysis, it is found that VR technology has a positive impact on students' overall learning effect and VR technology has a significant positive impact on all dimensions of learning effect (theoretical performance, operational performance, learning motivation, learning interest, learning attitude). There is no significant difference between the dimensions. Significant differences were found for moderating variables such as Discipline types, Teaching Length, and Teaching Method. No significant differences were found for the Academic segments and VR technology types.
This study is about the development of a device that reduces bacterial diffusion and odor by improving the water quality of the toilet using ozone water. In public toilets used by an unspecified number of people, various pollutants and pathogens are present in the toilet. These substances that are harmful to the human are dispersed in the form of aerosols into the air through toilet flushing. Aerosols containing various contaminants may flow into the user's respiratory tract or spread to the skin and cover, serving as a medium for various diseases. In order to prevent this spread, it is essential to continuously maintain cleanliness inside the toilet. Therefore, in this study, ozone water that can improve the water quality of the toilet was used as a way to keep the toilet environment clean. A device that is mounted in a toilet tank and continuously generates ozone water to improve pollutants inside the toilet was designed and developed.
This study aims to enhance the cultivation of SWㆍAI basic competencies of middle school students by forming and distributing SWㆍAI education programs for middle school students who form the basis of their lives. In addition, by planning SWㆍAI education programs in connection with the regular curriculum, it is intended to serve as a cornerstone for the public education of SWㆍAI education that will be implemented from 2025. To this end, the concept of SW and AI in middle school was first defined and a plan to link software/artificial intelligence learning factors to the regular curriculum was proposed, and based on this, SWㆍAI education programs for middle school students were prepared. Based on literature research, the understanding of artificial intelligence technology, the value of data, and the use of artificial intelligence technology in real life were set as SWㆍAI education contents, and educational programs were organized by linking them with the current middle school curriculum. All SWㆍAI education was organized in the form of practice rather than theory so that classes could be conducted centered on participants, and the purpose of the course was to cultivate the ability to use artificial intelligence technology in real life based on understanding artificial intelligence technology.
Sleep is an essential factor for living a healthy life, but most modern people complain of poor sleep. For these people, as the need for a means to simply evaluate and manage the quality of sleep increases, devices that can check the sleep state at home without monitoring by an examiner are being developed. The smart sleep mask, which is the subject of this usability test, provides bio-signal monitoring while sleeping so that you can conveniently measure and manage your sleep state for yourself. The purpose of this study is to evaluate the usability and safety of the smart sleep mask, to find and prevent potential factors related to errors in use that may occur, and to develop the comfort and safety of this product. As a result of the formative evaluation of the sleep mask prototype, it was reported that it was difficult to turn on the power and check the results, and that the sleep mask was not comfortable to wear. Different opinions were presented on the size and weight of the sleeping mask by people in different age groups.
This study aims to identify the degree of job stress related to COVID-19, emotional labor, empowerment, and retention intention of nurses in hospitals dedicated to infectious diseases, and confirmed the effect of job stress related to COVID-19, emotional labor, and empowerment on retention intention. The data collection of this study was conducted from August 27, 2021 to September 17, 2021 through a structured questionnaire targeting 162 nurses at an infectious disease hospital in S city. The data were analyzed analyzed using frequency and percentage, mean and standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient, and multiple linear regression using SPSS/WIN 25.0. As a result of analyzing differences according to general characteristics, retention intention showed a significant difference according to work department and work satisfaction. And as a result of analyzing the correlation between retention intention and COVID-19 related job stress, emotional labor, and empowerment, it showed a significant negative correlation (r=-0.215, p=0.006) with job stress related to COVID-19 and a significant positive correlation (r=0.343, p<0.001) with empowerment. As a result of multiple linear regression analysis, job satisfaction, job stress related to COVID-19, and empowerment were identified as significant variables affecting retention intention (F=23.751, p<0.001), and the explanatory power was 30.0%. Through the above results, we intend to provide basic data for strategic development for efficient nursing manpower management.
Rapid changes in modern society after the COVID-19 have highlighted artificial intelligence talent as a major influencing factor in determining national competitiveness. Accordingly, the Ministry of Education planned a large-scale SW∙AI camp education project to develop the digital capabilities of 4th to 6th grade elementary school students and middle and high school students who are in a vacuum in artificial intelligence education. Therefore, this study aims to develop a camp-type SW∙AI education program for students in grades 4-6 of elementary school so that students in grades 4-6 of elementary school can acquire basic knowledge in artificial intelligence. For this, the meaning of SW∙AI education in elementary school is defined and SW∙AI contents to be dealt with in elementary school are: understanding of S'W AI, 'principle and application of SW AI', and 'social impact of SW AI' ' was set. In addition, an attempt was made to link the set elements of elementary school SW AI education and learning with related subjects and units of textbooks currently used in elementary schools. As for the program used for education, entry, a software coding learning tool based on block coding, is designed to strengthen software programming basic competency, and all programs are designed to be operated centered on experience and experience-oriented participants in consideration of the developmental characteristics of elementary school students. In order for SW·AI education to be organized and operated as a member of the regular curriculum, it is suggested that research based on the analysis of regular curriculum contents and in-depth analysis of SW·AI education contents is necessary.
In recent years, with the rapid development of large and medium-sized urban rail transit in China, the total operating mileage of high-speed railway and the total number of EMUs(Electric Multiple Units) are rising. The system complexity of high-speed EMU is constantly increasing, which puts forward higher requirements for the safety of equipment and the efficiency of maintenance.At present, the maintenance mode of high-speed EMU in China still adopts the post maintenance method based on planned maintenance and fault maintenance, which leads to insufficient or excessive maintenance, reduces the efficiency of equipment fault handling, and increases the maintenance cost. Based on the intelligent operation and maintenance technology of PHM(prognostics and health management). This thesis builds an integrated PHM platform of "vehicle system-communication system-ground system" by integrating multi-source heterogeneous data of different scenarios of high-speed EMU, and combines the equipment fault mechanism with artificial intelligence algorithms to build a fault prediction model for traction motors of high-speed EMU.Reliable fault prediction and accurate maintenance shall be carried out in advance to ensure safe and efficient operation of high-speed EMU.
This study identified the level of awareness of dangerous accidents by empirically analyzing the possibility of hazardous accidents at work and the possibility of dangerous accidents due to COVID-19 targeting the participating seniors who are active in the Senior Club, an organization dedicated to job placement for the elderly. The purpose of this study is to provide basic data for preparing measures to improve risk accidents that may occur in organizations in charge of job placement for the elderly and to suggest countermeasures to prevent dangerous accidents. For this purpose, data were collected from the elderly participating in 16 senior clubs in Busan, and 425 of the collected 430 were ultimately used. As a result of this study, first, it was found that the elderly who participated in a job-dedicated institution for the elderly generally perceived the possibility of occupational risk accidents and risk factors due to COVID-19 to be low. Second, it was found that there was a statistically significant difference in the probability of occurrence of hazardous accidents at work according to demographic characteristics during the participation period, and the probability of occurrence of dangerous accidents with COVID-19 was found to have statistically significant differences in the classification and age of the participating elderly. Based on the results of this study, the project manager suggested creating a safety accident management record sheet, preparing a risk management manual, and establishing a risk management system reflecting the individual characteristics of the participants.
The purpose of this study was to identify the convergence influencing factors on nursing students' awareness of caregiving for the elderly. The participants were 130 nursing students from S University located in W city. Data were collected from July 1 to December 31, 2021, and the collected data were analyzed using the SPSS 25.0 statistical program. As a result of the study, there were statistically significant differences in dementia awareness according to general characteristics in gender, dementia related practice and education experience, and elderly related educational experience, empathy in elderly related practice experience, and the awareness of caregiving for the elderly in dementia interest (Yes). The awareness of caregiving for the elderly showed a positive correlation with empathy (r=.380, p<.01), and the factor effecting the awareness of caregiving for the elderly was dementia interest (yes) (β=.283, p<.001) and empathy (β=.354, p<.001), the explanatory power was 21.8%. Therefore, it is necessary to develop and provide a nursing curriculum or program that can improve empathy ability in order to cultivate nursing students' the awareness of caregiving for the elderly.
Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.
4차 본 연구에서는 유치원의 SW·AI 교육 실태조사를 통하여 이를 기초로 유아교육의 특성을 고려한 진정한의미의 유아 SW·AI 교육 활성화 방안을 제안하고자 한다. 이를 위해 편의표본 추출(convenience sampling)을 통하여총 194개의 유치원을 대상으로 자료를 수집하였다. 수집된 자료는 빈도분표를 이용해 분석하였으며, 현재 전체 조사대상의 44%의 유치원에서 SW․AI 교육을 시행하고 있으며 66%가 실시하지 않은 것으로 나타났다. 조사 결과 SW․AI 교육을 시행하고 있는 유치원 중 22%가 정규교육과정 형태로 SW·AI 교육을 시행하고 있으며, 70%가 방과 후 특별활동 형태로 SW·AI 교육을 시행하고 있다. SW·AI 교육은 해당 연령의 학급 교실(80%)에서 주로 외부 강사(97%)에 의해이루어지고 있는 것으로 나타났다. 유치원의 SW·AI 교육내용으로는 네이버, 클로바 등의 관련 업체에서 개발된 블록코딩 기반 프로그램을 사용하고 있었으며, 이러한 프로그램은 모두 관련 업체가 개발한 교구․재를 포함하여 프로그램과교구재 사용을 패키지 형식으로 사용하고 있다. 조사 대상의 56%가 현재 SW·AI 교육을 시행하지 않고 있다고 답변하였으며 SW·AI 교육에 대한 인식 부족, 인적·환경적 인프라 부족 등이 주된 요인으로 나타났다. 이와 같은 조사를 토대로 유치원 과정에서 유아교육의 본질과 특성을 지닌 SW·AI 교육이 실현되기 위해서는 첫째, 놀이 중심의 컴퓨팅적 사고력을 기를 수 있도록 유아 발달을 고려한 SW·AI 교육 프로그램이 개발되어야 할 것이다. 둘째, 유치원 교사들을 대상으로 SW·AI에 관한 기초지식을 습득하여 SW·AI 역량을 제고할 수 있도록 국가 차원의 체계적인교사 교육이 이루어져야 할 것이다. 셋째, 유아교육 전문가와 SW·AI 교육전문가로 구성된 유아 SW·AI 전담부서의 설립 및 국가 차원의 재정적 지원이 이루어져야 할 것이다.
This study is descriptive research to investigate the effects of COVID-19 stress, interpersonal (caregiver-patient) stress, and emotional labor on burnout in emergency room (ER) nurses during the COVID-19 pandemic. The data collection of this study was conducted from December 9 to 23, 2021 with ER nurses working at five tertiary general hospitals and general hospitals of Medical Center H. The data was collected with a questionnaire using tools measuring the subjects’ general & job-related characteristics, COVID-19 stress, interpersonal(caregiver-patient) stress, emotional labor and burnout. The collected data was analyzed using the SPSS/WIN 25.0 statistical program for frequency analysis, descriptive statistical analysis, independent sample t-test, one-way ANOVA, Scheffé test, correlation analysis, and multiple regression analysis. The average score of COVID-19 stress in ER nurses was 3.64, interpersonal(caregiver-patient) stress 4.35, emotional labor 3.38, and burnout 3.44. As a result of analyzing differences according to general & job-related characteristics, burnout showed a significant difference according to gender, marital status, total clinical experience, and working organization. And burnout showed a significant positive correlation with COVID-19 stress, interpersonal stress and emotional labor. As a result of multiple linear regression analysis, regional emergency medical centers and local emergency medical centers among the work organization types, interpersonal stress, COVID-19 stress, and gender and the explanatory power was 28.6%. Through these results, we intend to provide basic data for the development of an intervention program to prevent burnout of emergency room nurses and improve nursing performance at the time of a new infectious disease pandemic.
Recently, the importance of CPR training for the layperson has been emphasized to improve the survival rate of out-of-hospital cardiac arrest patients. An accurate and realistic training strategy is required for the CPR training effect for laypersons. In this study, we develop an extended reality (XR) based CPR training system and evaluate its usability. The XR based CPR training system consisted of three applications. First, a 3D heart anatomy image registered to the manikin is transmitted to the smart glasses to guide the chest compression point. The second application provides visual and auditory information about the CPR process through smart glasses. At the same time, the smartwatch sends a vibration notification to guide the compression rate. The ‘Add-on-kit’ is a device that detects the depth and speed of chest compression via sensors installed on the manikin and sends immediate feedback to the smartphone. One hundred laypersons who participated in this study agreed that the XR based CPR training system has realism and effectiveness. XR based registration technology will contribute to improving the efficiency of CPR training by enhancing realism, immersion, and self-directed learning.